dependent variable=        SGCFOUND 

===============================================================================
                    ** A Beta Model, Analytical Solution **                    
===============================================================================
 CML Version 1.0.0                                           6/05/01   2:56 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood        0.646990
Number of cases     140

Covariance of the parameters computed by the following method:
Inverse of computed Hessian

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
const           -2.3382        2.2809   -1.025   0.1527      0.0000
SCOSTFAM        -0.1356        0.0865   -1.568   0.0585      0.0000
SBVALUE          0.3166        0.1254    2.526   0.0058      0.0000
SAPPS            0.1864        0.0437    4.266   0.0000      0.0000
SFLABOR          0.3793        0.4053    0.936   0.1747      0.0000
SECON           -0.4851        1.1082   -0.438   0.3308      0.0000
SDEMGOVT         0.4818        0.3053    1.578   0.0573      0.0000
YEAR1991         0.1037        0.3070    0.338   0.3677      0.0000
YEAR1992        -0.3000        0.3044   -0.986   0.1622      0.0000
const           -4.1459        2.5228   -1.643   0.0502      0.0000
SCOSTFAM        -0.1384        0.0706   -1.960   0.0250      0.0000
SBVALUE          0.4117        0.1088    3.782   0.0001      0.0000
SAPPS            0.2573        0.0459    5.612   0.0000      0.0000
SFLABOR          0.5937        0.4301    1.380   0.0837      0.0000
SECON           -1.4808        0.9144   -1.619   0.0527      0.0000
SDEMGOVT         0.0787        0.3290    0.239   0.4055      0.0000
YEAR1991        -0.0473        0.2936   -0.161   0.4360      0.0000
YEAR1992        -0.4203        0.2831   -1.485   0.0688      0.0000

Correlation matrix of the parameters
   1.000   0.075  -0.565   0.118  -0.883   0.237  -0.453   0.023  -0.144
   0.865   0.048  -0.526   0.153  -0.790   0.183  -0.458   0.092  -0.143
   0.075   1.000  -0.191  -0.524   0.046  -0.563   0.269   0.008   0.196
  -0.010   0.892  -0.264  -0.484   0.116  -0.500   0.314  -0.013   0.189
  -0.565  -0.191   1.000   0.061   0.272  -0.024   0.188  -0.048   0.004
  -0.517  -0.232   0.853  -0.033   0.279   0.179   0.281  -0.149  -0.089
   0.118  -0.524   0.061   1.000  -0.234   0.351  -0.300   0.091   0.049
   0.144  -0.553   0.024   0.961  -0.178   0.225  -0.351   0.076  -0.059
  -0.883   0.046   0.272  -0.234   1.000  -0.558   0.499  -0.112   0.050
  -0.779   0.109   0.237  -0.245   0.879  -0.520   0.478  -0.136   0.105
   0.237  -0.563  -0.024   0.351  -0.558   1.000  -0.471   0.077  -0.072
   0.276  -0.569   0.133   0.359  -0.528   0.872  -0.459   0.093  -0.097
  -0.453   0.269   0.188  -0.300   0.499  -0.471   1.000  -0.054   0.202
  -0.444   0.317   0.180  -0.289   0.469  -0.415   0.850  -0.128   0.175
   0.023   0.008  -0.048   0.091  -0.112   0.077  -0.054   1.000   0.506
   0.105  -0.015  -0.125   0.123  -0.131   0.031  -0.164   0.875   0.436
  -0.144   0.196   0.004   0.049   0.050  -0.072   0.202   0.506   1.000
  -0.141   0.164  -0.074   0.054   0.106  -0.091   0.140   0.413   0.850
   0.865  -0.010  -0.517   0.144  -0.779   0.276  -0.444   0.105  -0.141
   1.000  -0.013  -0.593   0.217  -0.911   0.223  -0.603   0.170  -0.147
   0.048   0.892  -0.232  -0.553   0.109  -0.569   0.317  -0.015   0.164
  -0.013   1.000  -0.313  -0.547   0.124  -0.527   0.349  -0.017   0.242
  -0.526  -0.264   0.853   0.024   0.237   0.133   0.180  -0.125  -0.074
  -0.593  -0.313   1.000  -0.065   0.296   0.285   0.351  -0.212  -0.160
   0.153  -0.484  -0.033   0.961  -0.245   0.359  -0.289   0.123   0.054
   0.217  -0.547  -0.065   1.000  -0.218   0.186  -0.419   0.118  -0.071
  -0.790   0.116   0.279  -0.178   0.879  -0.528   0.469  -0.131   0.106
  -0.911   0.124   0.296  -0.218   1.000  -0.555   0.569  -0.172   0.139
   0.183  -0.500   0.179   0.225  -0.520   0.872  -0.415   0.031  -0.091
   0.223  -0.527   0.285   0.186  -0.555   1.000  -0.366   0.018  -0.147
  -0.458   0.314   0.281  -0.351   0.478  -0.459   0.850  -0.164   0.140
  -0.603   0.349   0.351  -0.419   0.569  -0.366   1.000  -0.260   0.132
   0.092  -0.013  -0.149   0.076  -0.136   0.093  -0.128   0.875   0.413
   0.170  -0.017  -0.212   0.118  -0.172   0.018  -0.260   1.000   0.480
  -0.143   0.189  -0.089  -0.059   0.105  -0.097   0.175   0.436   0.850
  -0.147   0.242  -0.160  -0.071   0.139  -0.147   0.132   0.480   1.000

Number of iterations    11
Minutes to convergence     0.32041

    0.0024702707 
    -0.050438468 
    -0.099594768 
    -0.040357766 
     0.075757485 
     0.077136656 
     0.027915680 
     0.022467405 

        SCOSTFAM 
         SBVALUE 
           SAPPS 
         SFLABOR 
           SECON 
        SDEMGOVT 
        YEAR1991 
        YEAR1992 
    0.0011044042      0.034247183    0.00071227901      0.083690190 
    -0.049037880      0.033360982      -0.11060246      0.074391830 
    -0.099487416      0.015654563      -0.30666689      0.053200196 
    -0.038791462      0.038995542      -0.14103869       0.14049332 
     0.076064254      0.040155876       0.18656598      0.090366174 
     0.078620115      0.033228805      0.078410796      0.032602162 
     0.028550620      0.027636362      0.029568191      0.028579141 
     0.022137788      0.031420349      0.022633716      0.032403833 

        SCOSTFAM 
         SBVALUE 
           SAPPS 
         SFLABOR 
           SECON 
        SDEMGOVT 
        YEAR1991 
        YEAR1992 
     0.017932717      0.012836520      0.050653303      0.037753813 
    -0.022681050      0.011688213     -0.052788787      0.028622998 
    -0.033326999     0.0097734438     -0.050774384     0.0093329640 
   -0.0089719998      0.011416006     -0.029341053      0.036745989 
    0.0020855319      0.013022068     0.0059808638      0.036490877 
    -0.017084175     0.0091971823     -0.016798534     0.0086249571 
   -0.0040647126     0.0089927375    -0.0040219814     0.0092646208 
    0.0072260369     0.0090396997     0.0079478559      0.010021752 
mean alpha= 3.39034 
mean beta= 1.24035 
ave mean= 0.73215 
ave var= 0.03483 
Valid cases:                   140      Dependent variable:                   Y
Missing cases:                   0      Deletion method:                   None
Total SS:                    4.437      Degrees of freedom:                 131
R-squared:                   0.167      Rbar-squared:                     0.116
Residual SS:                 3.698      Std error of est:                 0.168
F(8,131):                    3.272      Probability of F:                 0.002

                         Standard                 Prob   Standardized  Cor with
Variable     Estimate      Error      t-value     >|t|     Estimate    Dep Var
-------------------------------------------------------------------------------
CONSTANT     0.763078    0.219348    3.478846     0.001       ---         ---  
X1          -0.003101    0.007769   -0.399179     0.690   -0.039198   -0.084951
X2          -0.024288    0.010925   -2.223160     0.028   -0.184000   -0.220924
X3          -0.011785    0.004249   -2.773814     0.006   -0.236406   -0.239794
X4          -0.001739    0.036924   -0.047104     0.963   -0.004675   -0.059675
X5           0.130667    0.091698    1.424972     0.157    0.142027    0.081326
X6           0.074221    0.032483    2.284935     0.024    0.202942    0.237357
X7           0.006611    0.035093    0.188379     0.851    0.017442    0.066057
X8          -0.023360    0.035194   -0.663739     0.508   -0.062284   -0.076008
 0.23384  0.99990 
 0.52939  0.88142 
 0.53379  0.87358 
 0.00000 
 0.00000 

 0.36264  0.67952  0.67887 
 0.45481  0.72995  0.70194 
 0.31848  0.74847  0.70584 
 0.68726  0.87676  0.87358 
 0.81655  0.85333  0.82097 
 0.61360  0.88142  0.85107 
 0.23384  0.69665  0.62785 
 0.88021  0.75499  0.75507 
 0.76349  0.79177  0.77204 
 0.50045  0.80195  0.77279 
 0.48025  0.73771  0.70802 
 0.49272  0.77163  0.71743 
 0.50054  0.76337  0.68622 
 0.86397  0.70277  0.67928 
 0.90714  0.75706  0.69601 
 0.70656  0.71582  0.65987 
 0.69350  0.72879  0.70223 
 0.66993  0.75097  0.72126 
 0.70538  0.71008  0.65992 
 0.99990  0.74517  0.72318 
 0.99990  0.78967  0.74564 
 0.99990  0.77171  0.71708 
 0.99990  0.84726  0.80487 
 0.89942  0.77231  0.77296 
 0.92060  0.80852  0.79356 
 0.88793  0.79631  0.76101 
 0.99050  0.78945  0.81196 
 0.98951  0.83472  0.82154 
 0.99119  0.83969  0.81665 
 0.85100  0.73628  0.73651 
 0.92862  0.76672  0.74761 
 0.89595  0.74885  0.71515 
 0.68221  0.72422  0.71151 
 0.71874  0.75883  0.72011 
 0.58430  0.66886  0.61742 
 0.57559  0.69216  0.72875 
 0.51134  0.72440  0.72247 
 0.38313  0.70956  0.68850 
 0.91258  0.69336  0.69886 
 0.65647  0.72996  0.71451 
 0.80190  0.72577  0.69632 
 0.62528  0.74995  0.72739 
 0.74379  0.77010  0.72579 
 0.56173  0.75848  0.69178 
 0.58469  0.77904  0.75589 
 0.50490  0.74137  0.69781 
 0.71706  0.80829  0.74897 
 0.52718  0.64395  0.66265 
 0.63518  0.69132  0.69053 
 0.70290  0.69886  0.67765 
 0.44303  0.79796  0.80682 
 0.46827  0.74978  0.73130 
 0.47461  0.80646  0.77850 
 0.55123  0.64487  0.63349 
 0.57885  0.68205  0.64262 
 0.60420  0.67735  0.61387 
 0.47490  0.53677  0.58466 
 0.44807  0.54780  0.58128 
 0.44699  0.55618  0.56604 
 0.81992  0.64960  0.65593 
 0.75240  0.76276  0.73443 
 0.99990  0.68317  0.63262 
 0.71429  0.66757  0.67008 
 0.72676  0.73032  0.72372 
 0.73745  0.78678  0.75218 
 0.89229  0.60764  0.63314 
 0.93020  0.63534  0.64051 
 0.39293  0.57711  0.57966 
 0.73587  0.64702  0.69127 
 0.66993  0.64167  0.69801 
 0.59489  0.68936  0.66109 
 0.55994  0.76053  0.73525 
 0.67300  0.79972  0.75450 
 0.79151  0.77609  0.71810 
 0.99990  0.76770  0.78351 
 0.99990  0.78276  0.78995 
 0.99990  0.78345  0.76895 
 0.70557  0.73720  0.69496 
 0.73319  0.82183  0.75181 
 0.75517  0.75395  0.66132 
 0.64637  0.77830  0.76478 
 0.65053  0.82817  0.81147 
 0.69528  0.83072  0.78992 
 0.57182  0.81061  0.76284 
 0.56291  0.83271  0.77213 
 0.53242  0.76330  0.66056 
 0.80408  0.68247  0.68679 
 0.80190  0.71409  0.69549 
 0.80863  0.78497  0.74477 
 0.57182  0.61725  0.65131 
 0.44144  0.67615  0.67735 
 0.34858  0.67411  0.65951 
 0.65380  0.67568  0.68194 
 0.66122  0.69272  0.66988 
 0.56846  0.59532  0.57992 
 0.73151  0.63990  0.64847 
 0.95981  0.78676  0.75647 
 0.79339  0.67332  0.59925 
 0.89130  0.57716  0.58013 
 0.93149  0.71179  0.67726 
 0.91149  0.62115  0.58006 
 0.81487  0.83209  0.82993 
 0.69647  0.84597  0.83702 
 0.81259  0.78288  0.73875 
 0.76695  0.78689  0.78961 
 0.76963  0.78019  0.76741 
 0.82309  0.75784  0.73022 
 0.55628  0.70307  0.72564 
 0.79368  0.71056  0.70541 
 0.79685  0.72079  0.69766 
 0.76695  0.66145  0.69833 
 0.64449  0.69702  0.70873 
 0.79685  0.70647  0.69671 
 0.93228  0.75245  0.74493 
 0.97238  0.79026  0.76376 
 0.93674  0.77241  0.72790 
 0.99990  0.81927  0.83763 
 0.99990  0.84037  0.84733 
 0.73587  0.83445  0.81677 
 0.65340  0.54893  0.59522 
 0.59143  0.61046  0.61391 
 0.62964  0.61527  0.59095 
 0.48055  0.63130  0.64653 
 0.60677  0.69222  0.69440 
 0.53787  0.60860  0.61787 
 0.84417  0.81472  0.84873 
 0.85328  0.83281  0.85644 
 0.84685  0.76519  0.75396 
 0.49173  0.52939  0.57900 
 0.57222  0.58697  0.60195 
 0.58361  0.55679  0.56316 
 0.84081  0.80541  0.77401 
 0.84526  0.82335  0.77793 
 0.88476  0.81287  0.74071 
 0.57103  0.58415  0.63633 
 0.53727  0.62792  0.64042 
 0.55994  0.63629  0.63448 
 0.59440  0.59758  0.59918 
 0.75814  0.65007  0.61241 
 0.58301  0.54871  0.53379 
Beta is better if rb/ro<1 1.03610 
